Literature Review on Methods of Classification in Pattern Recognition

By : Khimya S. Tinani, Deepa H. Kandpal

Page No: 85-102

Abstract
 The objective of this review paper is to summarize some of the well-known methods used in various stages of a pattern recognition system. Pattern recognition has become more and more popular and important to us and it induces attractive attention coming from wider areas. The general processing steps of pattern recognition are discussed, starting with the pre-processing, then the feature extraction, and classification. In this paper we have reviewed methods used in pattern recognition. This review paper introduces the basic concepts of pattern recognition, different methods used for pattern recognition like statistical and structural techniques, template matching, neural network and provides the understanding of various methods and related algorithms for classification.

Authors :
Khimys S. Tinani
Department of Statistics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India.

Deepa H. Kandpal
Department of Statistics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India.

DOI: DOI-https://doi.org/10.32381/IAPQRT.2019.44.01.5